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Declaring models

class Dog: Object {

  dynamic var id = ""

  dynamic var name = ""

 dynamic var tempVariable = ""

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Data Science Resources

• Data Science Curriculum

Industry

• [O'Reilly: 2015 Data Science Salary Survey]
• [ASA Statement on the Role of Statistics in Data Science]
• [Data science is different now]
• [Does my Startup Data Team Need a Data Engineer?]

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#!/usr/bin/env python3
# -*- coding: utf-8 -*-
# See https://stackoverflow.com/a/40301488

import functools
import inspect
import warnings

string_types = (type(b''), type(u''))

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/*----------------------------------------------------*/
#pragma mark - XCTAsserts
/*----------------------------------------------------*/

XCTAssert(expression, format...);
XCTAssertTrue(expression, format...);
XCTAssertFalse(expression, format...);
XCTAssertEqual(expression1, expression2, format...);
XCTAssertNotEqual(expression1, expression2, format...);
XCTAssertNil(expression, format...);

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// App delegate

#import <AVFoundation/AVFoundation.h>// place in .h

// applicationDidFinishLaunchingWithOptions
// [self prepareAudioSession]; 

- (BOOL)prepareAudioSession {

     // deactivate session

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First figure out 1 rep max for each of the ‘big lifts’ (squat, bench, deadlift). Spend a whole gym session for each lift. Your "working weight" for each of the following progressions will be ~80% of that.

• Train ~three days a week (A, B, and C days)
• Usually start with ~6 min warm up. I like to do 500 m on the row machine.
• Day A: Squat, accessory leg (quads, calves), accessory arms (biceps, triceps)
• Day B: Bench, acessory chest, acessory back
• Day C: Deadlift, acessory rear/upper lower body (hamstrings, glutes), acessory shoulders
• If you got gas left in the tank end the day with an ab workout (50-100 of something)
• Acessory workouts are ~4 sets of usually a machine or dumbbell exercise at whatever weight you can do 8-12 repetitions per set. I try to do at least 1-2 different exercises per day for each acessory group.

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AURA DEMO

AURA makes it easy to add presence-enabled features to your iOS 8 application. It takes about 10 lines of code to detect encounters between your users in a highly energy efficient and secure manner.

Getting Started

In your target application's XCode project

• Add Aura.framework
• Add CoreBluetooth.framework

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Abbreviations

• Downtown = ~north of Market St
• Richmond = ~north of Golden Gate Park
• Mission = south of Market St to the West
• SOMA - south of Market St to the East.

Food

• Downtown - http://www.yelp.com/biz/bio-san-francisco

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Core.framework

2.5.0 in Core/ on xcode10
› cloc .
     162 text files.
     162 unique files.
       1 file ignored.

github.com/AlDanial/cloc v 1.80  T=0.26 s (610.0 files/s, 91682.3 lines/s)
-------------------------------------------------------------------------------

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Data Science Curriculum

Goals

• Broad not narrow focus (i.e. more than deep learning)
• Emphasis on fundamentals: theory over technology
• Present a clear, optimized path: separate essential areas of study from practical resources
• Assume strong software engineering foundation

Foundations

• [Concepts of Modern Mathematics] by Ian Stewart